{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "exec(open('Step_2_ForeignExposure_Public.py').read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read Data\r\n",
    "GQ_FI = pickle.load(open('../Data/CFM_GQ/GQ_FI.p','rb'))\r\n",
    "\r\n",
    "Var = 'Asset'\r\n",
    "GQ_FI = GQ_FI.swaplevel(axis=1)[Var]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Statistics \r\n",
    "## Exposure Groups\r\n",
    "TempBins = [-0.05]+list(np.linspace(0,1,num=21))+[np.inf]\r\n",
    "TempLabel = TempBins[1:-1]+[1.05]\r\n",
    "GQ_FI['ExposureGroup'] = pd.cut(GQ_FI['Exposure'],bins=TempBins,labels=TempLabel)\r\n",
    "## Distribution Statistics\r\n",
    "GQ_TS_SumStat = GQ_FI.groupby('QDate')['Exposure'].describe()\r\n",
    "GQ_TS_SumStat['mean_weighted'] = (GQ_FI['Exposure']*GQ_FI['Total_Frac']).groupby('QDate').sum()\r\n",
    "GQ_TS_SizeFrac = GQ_FI.groupby(['QDate','ExposureGroup'])['Total_Frac'].sum().unstack()\r\n",
    "GQ_TS_Freq = GQ_FI.groupby('QDate')['ExposureGroup'].value_counts(normalize=True).unstack().fillna(0)\r\n",
    "\r\n",
    "GQ_TS = pd.concat([GQ_TS_SumStat,GQ_TS_SizeFrac,GQ_TS_Freq],keys=['SumStat','SizeFrac','Freq'],axis=1)\r\n",
    "## Sample Period\r\n",
    "Q1 = datetime.datetime(2014,1,1)\r\n",
    "Q2 = datetime.datetime(2019,1,1)\r\n",
    "GQ_TS = GQ_TS[ (GQ_TS.index >= Q1) & (GQ_TS.index <= Q2)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Figure\r\n",
    "Line_Main = MyGR.Line(MyGR.MyColor('Black'),'solid',3)\r\n",
    "Line_0 = MyGR.Line(MyGR.MyColor('Gray'),'dashed',2)\r\n",
    "Line_1 = MyGR.Line(MyGR.MyColor('Blue'),'dashed',1.5)\r\n",
    "Line_2 = MyGR.Line(MyGR.MyColor('Red'),'dashed',1.5)\r\n",
    "\r\n",
    "FigSize = (1/3,1/4)\r\n",
    "FontSize_1 = 6\r\n",
    "FontSize_2 = 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary Statistics over Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x412.5 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Summary Statistics over Time\r\n",
    "Fig = MyGR.Setup_Fig(FigSize=FigSize)\r\n",
    "ax = Fig.add_subplot(1,1,1)\r\n",
    "### Mean\r\n",
    "Line_Main.Plot(GQ_TS.index,GQ_TS['SumStat']['mean']*100,ax=ax,Label=\"Mean\")\r\n",
    "#MyGR.Line(MyGR.MyColor('Black',0.5),'dashed',3).Plot(GQ_TS.index,GQ_TS['SumStat']['mean_weighted']*100,ax=ax,Label=\"Mean (weighted)\")\r\n",
    "\r\n",
    "### Quantiles\r\n",
    "Line_0.Plot(GQ_TS.index,GQ_TS['SumStat']['50%']*100,ax=ax,Label=\"Median\")\r\n",
    "Line_1.Plot(GQ_TS.index,GQ_TS['SumStat']['25%']*100,ax=ax,Label=\"q25\")\r\n",
    "Line_2.Plot(GQ_TS.index,GQ_TS['SumStat']['75%']*100,ax=ax,Label=\"q75\")\r\n",
    "### Setup the axis format\r\n",
    "MyGR.Setup_Ax(ax,XTickNbins=7,YTickNbins=7)\r\n",
    "ax.set_xlim(GQ_TS.index.min(),GQ_TS.index.max()) \r\n",
    "ax.set_xticks([datetime.datetime(yy,1,1) for yy in range(2015,2019)])\r\n",
    "ax.xaxis.set_major_formatter(matdates.DateFormatter(\"%y%b\"))\r\n",
    "plt.ylabel('Foreign Share of Assets (\\%)',fontsize=FontSize_1)\r\n",
    "plt.xlabel('Filing Date',fontsize=FontSize_1)\r\n",
    "ax.tick_params(labelsize=FontSize_1)\r\n",
    "plt.legend(fontsize=FontSize_2,loc='best',frameon=False,ncol=1)\r\n",
    "\r\n",
    "plt.tight_layout()\r\n",
    "plt.savefig('TableGraph/Exposure_FI_SumStatTS.eps', format='eps')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Distribution across Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 550x412.5 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Average Distribution\r\n",
    "Fig = MyGR.Setup_Fig(FigSize=FigSize)\r\n",
    "ax = Fig.add_subplot(1,1,1)\r\n",
    "### Frequency\r\n",
    "Hist_Freq = GQ_TS['Freq'].mean()\r\n",
    "ax.bar(Hist_Freq.index[0]*100,Hist_Freq[0]*100,align='edge',width=-5*0.45,color=MyGR.MyColor('Blue',1))\r\n",
    "ax.bar(Hist_Freq.index[1:].map(lambda x: x*100),Hist_Freq[1:]*100,align='edge',width=-5*0.45,color=MyGR.MyColor('Blue',0.5),label='Number of Observations')\r\n",
    "### Size\r\n",
    "Hist_Frac = GQ_TS['SizeFrac'].mean()\r\n",
    "ax.bar(Hist_Frac.index[0]*100,Hist_Frac[0]*100,align='edge',width=5*0.45,color=MyGR.MyColor('Red',1))\r\n",
    "ax.bar(Hist_Frac.index[1:].map(lambda x: x*100),Hist_Frac[1:]*100,align='edge',width=5*0.45,color=MyGR.MyColor('Red',0.5),label='Total Assets')\r\n",
    "\r\n",
    "MyGR.Setup_Ax(ax,XTickNbins=7,YTickNbins=7)\r\n",
    "plt.ylabel('Fraction of All Financial Institutions (\\%)',fontsize=FontSize_1)\r\n",
    "plt.xlabel('Foreign Share of Asset (\\%)',fontsize=FontSize_1)\r\n",
    "ax.tick_params(labelsize=FontSize_1)\r\n",
    "plt.legend(fontsize=FontSize_2,loc='best',frameon=False)\r\n",
    "\r\n",
    "plt.tight_layout()\r\n",
    "plt.savefig('TableGraph/Exposure_FI_AvgDist.eps', format='eps')\r\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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